{"id":"https://openalex.org/W3120506657","doi":"https://doi.org/10.1109/siu49456.2020.9302453","title":"Nuclei Segmentation in Hematoxylin and Eosin (H&E)-Stained Histopathological Images Using a Deep Neural Network","display_name":"Nuclei Segmentation in Hematoxylin and Eosin (H&E)-Stained Histopathological Images Using a Deep Neural Network","publication_year":2020,"publication_date":"2020-10-05","ids":{"openalex":"https://openalex.org/W3120506657","doi":"https://doi.org/10.1109/siu49456.2020.9302453","mag":"3120506657"},"language":"en","primary_location":{"id":"doi:10.1109/siu49456.2020.9302453","is_oa":false,"landing_page_url":"https://doi.org/10.1109/siu49456.2020.9302453","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 28th Signal Processing and Communications Applications Conference (SIU)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5032716191","display_name":"Sercan \u00c7ay\u0131r","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Sercan Cayir","raw_affiliation_strings":["Artificial Intelligence Research Team, ViraSoft Inc"],"affiliations":[{"raw_affiliation_string":"Artificial Intelligence Research Team, ViraSoft Inc","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5085482290","display_name":"Serim Hande Tarcan","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Serim Hande Tarcan","raw_affiliation_strings":["Artificial Intelligence Research Team, ViraSoft Inc"],"affiliations":[{"raw_affiliation_string":"Artificial Intelligence Research Team, ViraSoft Inc","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5031731053","display_name":"Samet Ayalt\u0131","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Samet Ayalti","raw_affiliation_strings":["Artificial Intelligence Research Team, ViraSoft Inc"],"affiliations":[{"raw_affiliation_string":"Artificial Intelligence Research Team, ViraSoft Inc","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5028870698","display_name":"Salar Razavi","orcid":"https://orcid.org/0000-0003-2421-4524"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Salar Razavi","raw_affiliation_strings":["Artificial Intelligence Research Team, ViraSoft Inc"],"affiliations":[{"raw_affiliation_string":"Artificial Intelligence Research Team, ViraSoft Inc","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5019996623","display_name":"Fariba D. Khameneh","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Fariba Khameneh","raw_affiliation_strings":["Artificial Intelligence Research Team, ViraSoft Inc"],"affiliations":[{"raw_affiliation_string":"Artificial Intelligence Research Team, ViraSoft Inc","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5070657196","display_name":"Sukru Burak Cetin","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Sukru Burak Cetin","raw_affiliation_strings":["Artificial Intelligence Research Team, ViraSoft Inc"],"affiliations":[{"raw_affiliation_string":"Artificial Intelligence Research Team, ViraSoft Inc","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5009415765","display_name":"Gizem Solmaz","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Gizem Solmaz","raw_affiliation_strings":["Research and Development Team, ViraSoft Inc"],"affiliations":[{"raw_affiliation_string":"Research and Development Team, ViraSoft Inc","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5090831642","display_name":"G\u00fcl\u015fah \u00d6zsoy","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Gulsah Ozsoy","raw_affiliation_strings":["Research and Development Team, ViraSoft Inc"],"affiliations":[{"raw_affiliation_string":"Research and Development Team, ViraSoft Inc","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5032967218","display_name":"\u00c7isem Yaz\u0131c\u0131","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Cisem Yazici","raw_affiliation_strings":["Research and Development Team, ViraSoft Inc"],"affiliations":[{"raw_affiliation_string":"Research and Development Team, ViraSoft Inc","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5067946693","display_name":"Cavit Kerem Kayhan","orcid":"https://orcid.org/0000-0001-5754-9289"},"institutions":[{"id":"https://openalex.org/I322491407","display_name":"Ac\u0131badem University","ror":"https://ror.org/01rp2a061","country_code":"TR","type":"education","lineage":["https://openalex.org/I322491407"]}],"countries":["TR"],"is_corresponding":false,"raw_author_name":"Cavit Kerem Kayhan","raw_affiliation_strings":["Acibadem Maslak Hospital, Pathology Laboratory, Istanbul"],"affiliations":[{"raw_affiliation_string":"Acibadem Maslak Hospital, Pathology Laboratory, Istanbul","institution_ids":["https://openalex.org/I322491407"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5020151395","display_name":"Fatma Tokat","orcid":"https://orcid.org/0000-0002-6976-1567"},"institutions":[{"id":"https://openalex.org/I322491407","display_name":"Ac\u0131badem University","ror":"https://ror.org/01rp2a061","country_code":"TR","type":"education","lineage":["https://openalex.org/I322491407"]}],"countries":["TR"],"is_corresponding":false,"raw_author_name":"Fatma Tokat","raw_affiliation_strings":["Acibadem Maslak Hospital, Pathology Laboratory, Istanbul"],"affiliations":[{"raw_affiliation_string":"Acibadem Maslak Hospital, Pathology Laboratory, Istanbul","institution_ids":["https://openalex.org/I322491407"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":11,"corresponding_author_ids":["https://openalex.org/A5032716191"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.1326,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.57652073,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":93},"biblio":{"volume":"2","issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10862","display_name":"AI in cancer detection","score":1.0,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10862","display_name":"AI in cancer detection","score":1.0,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12422","display_name":"Radiomics and Machine Learning in Medical Imaging","score":0.9968000054359436,"subfield":{"id":"https://openalex.org/subfields/2741","display_name":"Radiology, Nuclear Medicine and Imaging"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T14510","display_name":"Medical Imaging and Analysis","score":0.9930999875068665,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.7322525978088379},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.70859295129776},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.670323371887207},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.6531957983970642},{"id":"https://openalex.org/keywords/h-e-stain","display_name":"H&E stain","score":0.6517038345336914},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.6105496287345886},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5386986136436462},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4912404417991638},{"id":"https://openalex.org/keywords/breast-cancer","display_name":"Breast cancer","score":0.4907754361629486},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.4894763231277466},{"id":"https://openalex.org/keywords/histopathological-examination","display_name":"Histopathological examination","score":0.4153327941894531},{"id":"https://openalex.org/keywords/cancer","display_name":"Cancer","score":0.3422820568084717},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3301442265510559},{"id":"https://openalex.org/keywords/pathology","display_name":"Pathology","score":0.24566882848739624},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.16699156165122986},{"id":"https://openalex.org/keywords/immunohistochemistry","display_name":"Immunohistochemistry","score":0.11203491687774658},{"id":"https://openalex.org/keywords/internal-medicine","display_name":"Internal medicine","score":0.07650849223136902}],"concepts":[{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.7322525978088379},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.70859295129776},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.670323371887207},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.6531957983970642},{"id":"https://openalex.org/C125473707","wikidata":"https://www.wikidata.org/wiki/Q9914","display_name":"H&E stain","level":3,"score":0.6517038345336914},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.6105496287345886},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5386986136436462},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4912404417991638},{"id":"https://openalex.org/C530470458","wikidata":"https://www.wikidata.org/wiki/Q128581","display_name":"Breast cancer","level":3,"score":0.4907754361629486},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.4894763231277466},{"id":"https://openalex.org/C3020547009","wikidata":"https://www.wikidata.org/wiki/Q1070952","display_name":"Histopathological examination","level":2,"score":0.4153327941894531},{"id":"https://openalex.org/C121608353","wikidata":"https://www.wikidata.org/wiki/Q12078","display_name":"Cancer","level":2,"score":0.3422820568084717},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3301442265510559},{"id":"https://openalex.org/C142724271","wikidata":"https://www.wikidata.org/wiki/Q7208","display_name":"Pathology","level":1,"score":0.24566882848739624},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.16699156165122986},{"id":"https://openalex.org/C204232928","wikidata":"https://www.wikidata.org/wiki/Q899285","display_name":"Immunohistochemistry","level":2,"score":0.11203491687774658},{"id":"https://openalex.org/C126322002","wikidata":"https://www.wikidata.org/wiki/Q11180","display_name":"Internal medicine","level":1,"score":0.07650849223136902},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/siu49456.2020.9302453","is_oa":false,"landing_page_url":"https://doi.org/10.1109/siu49456.2020.9302453","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 28th Signal Processing and Communications Applications Conference (SIU)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Good health and well-being","score":0.5199999809265137,"id":"https://metadata.un.org/sdg/3"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W1542955296","https://openalex.org/W1582640985","https://openalex.org/W1901129140","https://openalex.org/W1922857261","https://openalex.org/W2010871781","https://openalex.org/W2151538727","https://openalex.org/W2312404985","https://openalex.org/W2592905743","https://openalex.org/W2606310481","https://openalex.org/W2821021189","https://openalex.org/W2889646458","https://openalex.org/W2928133111","https://openalex.org/W2952833648","https://openalex.org/W2954996726","https://openalex.org/W2956013636","https://openalex.org/W2975587746","https://openalex.org/W2981994674","https://openalex.org/W6639824700","https://openalex.org/W6640344146","https://openalex.org/W6768375381","https://openalex.org/W6769970663"],"related_works":["https://openalex.org/W1986945230","https://openalex.org/W3055032190","https://openalex.org/W2887807965","https://openalex.org/W4385350139","https://openalex.org/W185692665","https://openalex.org/W2099326649","https://openalex.org/W1919079297","https://openalex.org/W2751426753","https://openalex.org/W1522196789","https://openalex.org/W3003350281"],"abstract_inverted_index":{"Breast":[0],"cancer,":[1],"being":[2],"the":[3,11,24,74,106,117],"second":[4],"most":[5,12],"frequently":[6],"seen":[7],"cancer":[8,14],"globally,":[9],"is":[10,21,33,40,46],"common":[13],"among":[15],"women.":[16],"Early":[17],"and":[18,58,65,98],"accurate":[19],"diagnosis":[20],"dependent":[22],"on":[23,67],"correct":[25],"identification":[26],"of":[27,82,89,96,102,108,119],"nuclei":[28,75],"in":[29,122],"histopathological":[30,120],"images,":[31],"which":[32],"a":[34,47,68,79,84,91],"very":[35],"tedious":[36],"task":[37,77],"when":[38],"it":[39],"done":[41],"manually.":[42],"The":[43,61],"proposed":[44],"method":[45],"deep":[48],"learning":[49],"model":[50,62,72],"using":[51],"U-Net":[52],"architecture":[53],"supplied":[54],"with":[55,78],"various":[56],"pre-":[57],"post-processing":[59],"techniques.":[60],"was":[63],"trained":[64],"tested":[66],"unique":[69],"dataset.":[70,124],"Our":[71],"performed":[73],"segmentation":[76],"Dice":[80],"score":[81],"0.84,":[83,97],"true":[85,92],"negative":[86],"rate":[87,94,101],"(TNR)":[88],"0.95,":[90],"positive":[93],"(TPR)":[95],"an":[99],"accuracy":[100],"0.93.":[103],"To":[104],"enhance":[105],"performance":[107],"our":[109,111,123],"model,":[110],"planned":[112],"future":[113],"work":[114],"includes":[115],"increasing":[116],"number":[118],"images":[121]},"counts_by_year":[{"year":2021,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}